Microsoft Fabric Analytics Engineer Associate DP-600
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As a Microsoft Fabric Analytics Engineer Associate, you are tasked with optimizing a semantic model that is experiencing performance degradation due to the complexity of managing a large number of data sources. The model is critical for real-time analytics in a financial services company that operates under strict compliance and data governance policies. Which of the following approaches would BEST optimize the performance of the semantic model while ensuring compliance and minimizing operational costs? (Choose one)
As a Microsoft Fabric Analytics Engineer Associate, you are tasked with optimizing a semantic model that is experiencing performance degradation due to the complexity of managing a large number of data sources. The model is critical for real-time analytics in a financial services company that operates under strict compliance and data governance policies. Which of the following approaches would BEST optimize the performance of the semantic model while ensuring compliance and minimizing operational costs? (Choose one)
Explanation:
Option B is the most effective approach because it directly addresses the root cause of the performance issues by optimizing the data sources themselves, rather than just treating the symptoms. Implementing strategies like incremental refresh and partitioning can significantly improve performance without necessarily increasing costs or violating compliance policies. Option A may not be feasible due to compliance and data governance requirements that could prevent consolidation. Option C would negatively impact the real-time analytics capability, which is critical for the financial services company. Option D might provide a temporary performance boost but does not solve the underlying inefficiencies in data management.